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Data Engineer -Jerusalem at KPMG

Jerusalem, Jerusalem District, Israel -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Elasticsearch, Cloud Technologies, Kafka, Databricks, Python, Java, Scala, Distributed Systems, Data Warehousing, ETL Processes, AKS, EKS, OpenShift

Industry

Financial Services

Description

We are KPMG’s technology arm in Israel. KPMG delves headfirst into the power of emerging technologies and scientific breakthroughs to craft solutions, projects, and products for companies facing complex business challenges in today’s continuously changing world. By uniting groundbreaking technology with industry expertise, we are able to harness the potential of cloud, AI, ML, digital, and cyber to design and implement top-of-the-line tailored solutions. We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs. The role will entail: Design and develop data platforms based on Elasticsearch, Databricks, and Kafka Build and maintain data pipelines that are efficient, reliable and scalable Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements Write efficient and optimized code that can handle large volumes of data Implement data quality checks to ensure accuracy and completeness of the data Troubleshoot and resolve data pipeline issues in a timely manner Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field 3+ years of experience in data engineering Expertise in Elasticsearch, cloud technologies (such as AWS, Azure, or GCP), Kafka and Databricks Proficiency in programming languages such as Python, Java, or Scala Experience with distributed systems, data warehousing and ETL processes Experience with Container environment such AKS\EKS\OpenShift is a plus high security clearance is a plus The position is open for all genders as well as people with disabilities.

Responsibilities

The Data Engineer will be responsible for designing, building, and maintaining scalable and efficient data pipelines to support organizational data processing needs, including developing data platforms based on Elasticsearch, Databricks, and Kafka.